MD5: 59bab8f71f8c096cd3f72cd73851515d
Rename it to: Sublime Text
Make it executable with: chmod u+x Sublime\ Text
| [ | |
| { | |
| "op": "core/text-transform", | |
| "engineConfig": { | |
| "facets": [], | |
| "mode": "row-based" | |
| }, | |
| "columnName": "genus", | |
| "expression": "value.toTitlecase()", | |
| "onError": "keep-original", |
| prompt_author: James Mickley | |
| prompt_author_institution: Oregon State University | |
| prompt_name: OSUvA_medium | |
| prompt_version: v-0-2 | |
| prompt_description: Prompt developed by James Mickley. Based loosely on SLTPvA_medium v1.0 | |
| ~ Changelog ~ | |
| * v-0-2 - 2024-07-22 - Adds datum, specifies that scientific name should not have taxonomic authors, OSC-specific catalogNumber, | |
| spell out country in full, remove region name from county | |
| LLM: General Purpose | |
| instructions: 1. Refactor the unstructured OCR text into a dictionary based on the JSON structure outlined below. |
| # Load Libraries | |
| library(tidyverse) # Needed for data wrangling and ggplot | |
| library(plotly) # Needed for interactive plot | |
| library(scales) # Needed to format y axis nicely | |
| ##### Premise | |
| # This is a basic SIR model that studies effects of intermittant social distancing | |
| # It makes the following assumptions (other than the parameters below) | |
| # - Deaths are the best data for true # of cases at time t - time-to-death | |
| # - Deaths are not removed by the population, but are part of the recovered |